Lead Data Scientist

Northrup Grumman RPO
Cheltenham
1 month ago
Applications closed

Related Jobs

View all jobs

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist - Bristol

Senior/Lead Data Scientist - Talent Community

Senior Data Scientist

Applied AI ML Lead - Data Scientist / Engineer - Commercial and Investment Bank

Define Possible at Northrop Grumman UK

At Northrop Grumman UK, our mission is to solve the most complex challenges by shaping the technology and solutions of tomorrow. We call it Defining Possible.

This mind-set goes beyond our customer solutions; it's the foundation for your career development and the impact we have within the community. So, what's your possible?

Salary: £51,000 - £76,700

Opportunity:

This is more than just a job; it's a mission.

The role is for an experienced data scientist to provide technical delivery and subject matter expertise in data science and machine learning across domains relevant to our customers' missions. This technical role requires a detailed knowledge of a broad range of methods and technologies - with opportunities to work across analytics, data fusion and visualisation, data science, data engineering, machine learning and artificial intelligence - and technical leadership of project teams.

Our UK Cyber & Intelligence business combines modern software development approaches with a rich heritage and experience in the Defence and security sectors. Our customers have complex and sensitive data and information requirements requiring a mission partner who quickly understands the context, delivering and sustaining a portfolio of challenging technology projects at scale and pace, supporting them through an ambitious digital transformation programme.

Responsibilities:

Provide technical leadership for a team of data scientists, to ensure projects are delivered on schedule and to quality, and manage any changes to data science work packages
Act as a principal design authority and reviewer for a data science work package, providing technical guidance to more junior data scientists advising on the appropriate data science and machine learning methods and tools, standards and best practice
Act as a formal customer technical point of contact and understand customer expectations to ensure delivery content and styles matches
Represent the organisation by converting customer problems into potential solutions and opportunities, and work with account managers to develop opportunities into propositions, aligning with the current account strategy
Support the production of technical sections of bids, proposals and studies
Contribute to data science strategy and standards including data governance and ethics
Benefits:

We can offer you a range of flexible and hybrid working options to suit you, including optional compressed working schedule with every other Friday off. Our benefits including private health care, career development opportunities and performance bonuses. For a comprehensive list of benefits, speak to our recruitment team.

We are looking for:

Experience providing support and guidance to other data scientists; someone who is a recognised authority on a number of specialisms, with knowledge of cutting-edge techniques
Ability to engage with senior (internal and customer) stakeholders and champion the value of data science and machine learning
Proficiency and knowledge across a wide range of data science and machine learning areas, or have deep expertise in a narrower range of specialisms which should include experience of successful application of appropriate methods
Have experience of working with data engineers to build data pipelines at scale using a wide range of tools and techniques
Provide technical solutions - that are innovative, practical, relevant to the customer's mission and consistent with organisation objectives - to a wide range of complex, difficult problems
Experienced in geographical information systems and in predictive and prescriptive analysis of geographical data would be a bonus
Security clearance:

You must already hold the highest level of UK Government security clearance. Our requirement team is on hand to answer any questions and we will guide you through the process: .

Why join us?

A mission to believe in - Every day we contribute to building a more secure and connected world, expanding our reach from land, sea, and air to space and cyberspace. From engineering data and intelligence solutions, to developing maritime navigation and control systems and innovating command and control systems for the UK and NATO, what we do together matters.
A place to belong and thrive - Every voice matters at our table meaning you can bring your authentic self to work. From our Employee Resource Groups backed by thousands of employees, to sponsoring Cheltenham Pride and our partnerships with Association For Black and Minority Ethnic Engineers, Forces Transition Group, Mind, and Women in Defence - we are passionate about growing and supporting our inclusive community where everyone can belong.
Your career, your way - Shape your career journey with diverse roles, mentorship, and development opportunities that fuel your curiosity, channel your expertise and nurture your passion. Looking for flexibility? Balance your professional career with your personal life, health and wellbeing benefits, discount schemes, pension benefits and investment in your future development. Speak to our team to find the balance that's right for you.
Ready to apply?

Yes - Submit your application online. Your application will be reviewed by our team and we will be in touch.

Possibly, I'd like to find out more about this role - Reach out to our team for more information and support: .

No, I don't think this role is right for me - Our extensive UK growth means we have exciting, new opportunities opening all the time. Speak to our team to discuss your career goals.Y2xhdWRpYS5jaW5kZXNjdS44MjUyNS4xMjI3MUBub3J0aHJ1cG1hbi5hcGxpdHJhay5jb20.gif

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Navigating Machine Learning Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Machine learning (ML) has swiftly become one of the most in-demand skill areas across industries, with companies leveraging predictive models and data-driven insights to solve challenges in healthcare, finance, retail, manufacturing, and beyond. Whether you’re an early-career data scientist aiming to break into ML, a seasoned engineer branching into deep learning, or a product manager exploring AI-driven solutions, machine learning career fairs offer a powerful route to connect with prospective employers face-to-face. Attending these events can help you: Network with hiring managers and technical leads who make direct recruitment decisions. Gain insider insights on the latest ML trends and tools. Learn about emerging job roles and new industry verticals adopting machine learning. Showcase your interpersonal and communication skills, both of which are increasingly important in collaborative AI/ML environments. However, with many applicants vying for attention in a bustling hall, standing out isn’t always easy. In this detailed guide, we’ll walk you through how to prepare meticulously, pitch yourself confidently, ask relevant questions, and follow up effectively to land the machine learning opportunity that aligns with your ambitions.

Common Pitfalls Machine Learning Job Seekers Face and How to Avoid Them

Machine learning has emerged as one of the most sought-after fields in technology, with companies across industries—from retail and healthcare to finance and manufacturing—embracing data-driven solutions at an unprecedented pace. In the UK, the demand for skilled ML professionals continues to soar, and opportunities in this domain are abundant. Yet, amid this growing market, competition for machine learning jobs can be fierce. Prospective employers set a high bar: they seek candidates with not just theoretical understanding, but also strong practical skills, business sense, and an aptitude for effective communication. Whether you’re a recent graduate, a data scientist transitioning into machine learning, or a seasoned developer pivoting your career, it’s essential to avoid common mistakes that may hinder your prospects. This blog post explores the pitfalls frequently encountered by machine learning job seekers, and offers actionable guidance on how to steer clear of them. If you’re looking for roles in this thriving sector, don’t forget to check out Machine Learning Jobs for the latest vacancies across the UK. In this article, we’ll break down these pitfalls to help you refine your approach in applications, interviews, and career development. By taking on board these insights, you can significantly enhance your employability, stand out from the competition, and secure a rewarding position in the world of machine learning.

Career Paths in Machine Learning: From Entry-Level Roles to Leadership and Beyond

Machine learning has rapidly transformed from an academic pursuit to a cornerstone of modern technology, fueling innovations in healthcare, finance, retail, cybersecurity, and virtually every industry imaginable. From predictive analytics and computer vision to deep learning models that power personalisation algorithms, machine learning (ML) is reshaping business strategies and creating new economic opportunities. As demand for ML expertise continues to outstrip supply, the UK has become a vibrant hub for machine learning research, entrepreneurship, and corporate adoption. Whether you’re just starting out or have experience in data science, software development, or adjacent fields, there has never been a better time to pursue a career in machine learning. In this article, we will explore: The growing importance of machine learning in the UK Entry-level roles that can kick-start your ML career The skills and qualifications you’ll need to succeed Mid-level and advanced positions, including leadership tracks Tips for job seekers on www.machinelearningjobs.co.uk By the end, you’ll have a clear view of how to build, grow, and lead in one of the most exciting fields in modern technology.